Attractor reconstruction for plethysmographic biosignals

Author

Deloya Velez, Alberto Hugo ; Gonzalez-Hernandez, H.G. ; Reyes Guerra, Bernardo

Author_Institution

Dept. of Basic Sci., ITESM, Monterrey, Mexico

fYear

2014

fDate

26-28 Feb. 2014

Firstpage

94

Lastpage

98

Abstract

Analysis of biosignals is still an open problem, traditionally it has been tackled using frequency domain techniques. In this paper we propose to analyze the plethysmographic signal through its dynamical properties. Time series measured from healthy subjects were considered for proposing an analysis framework. We use delayed coordinates technique in order to reconstruct the state space dynamics of the attractor, then correlation dimension, Hurst and Lyapunov exponents were computed in order to further classify signals for different health conditions on patients.

Keywords

Lyapunov methods; correlation methods; delays; medical signal processing; plethysmography; signal classification; signal reconstruction; state-space methods; time series; Hurst exponents; Lyapunov exponents; attractor reconstruction; correlation dimension; delayed coordinate technique; dynamical properties; frequency domain techniques; patient health conditions; plethysmographic biosignal analysis; signal classification; state space dynamics; time series; Correlation; Mutual information; Physiology; Time measurement; Time series analysis; Trajectory; Vectors; attractor reconstruction; correlation dimension; hurst exponent; lyapunov exponent; plethysmographic curve;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Computers (CONIELECOMP), 2014 International Conference on

Conference_Location

Cholula

Print_ISBN

978-1-4799-3468-3

Type

conf

DOI

10.1109/CONIELECOMP.2014.6808574

Filename

6808574